Kong Kai Yuan, Yuen Kum Fai
School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.
Risk Anal. 2025 Mar;45(3):563-580. doi: 10.1111/risa.17448. Epub 2024 Aug 23.
The global sustainability movement is reshaping the operational requirements and managerial approaches of maritime firms, resulting in the emergence of unprecedented and complex risks in the sector. This has driven maritime firms to leverage digital tools, such as artificial intelligence (AI) capabilities, to enhance their sustainability risk management (SRM) endeavors. Drawing on the organizational information-processing theory (OIPT), this study proposes four AI capabilities: customer value proposition, key process optimization, key resource optimization, and societal good. It examines their influence on sustainability-related knowledge management capabilities (SKMC), stakeholder engagement, and SRM. A survey questionnaire was used to gather responses from 157 maritime professionals across various sectors of the industry, providing empirical data for analysis. Employing structural equation modeling, the findings reveal that AI capabilities can improve SKMC. These findings enhance existing literature by using OIPT concepts to investigate the interplay among the constructs that lead to better SRM in maritime firms. Furthermore, the study offers managerial guidance by providing insights into AI capabilities that maritime firms should incorporate into their operations, fostering best practices to effectively manage sustainability risks and ensure the firm's long-term survival.
全球可持续发展运动正在重塑航运公司的运营要求和管理方法，导致该行业出现了前所未有的复杂风险。这促使航运公司利用数字工具，如人工智能能力，来加强其可持续发展风险管理（SRM）工作。本研究借鉴组织信息处理理论（OIPT），提出了四种人工智能能力：客户价值主张、关键流程优化、关键资源优化和社会公益。它考察了这些能力对可持续发展相关知识管理能力（SKMC）、利益相关者参与度和SRM的影响。通过调查问卷收集了来自该行业各个部门的157名航运专业人士的回复，为分析提供了实证数据。采用结构方程模型，研究结果表明人工智能能力可以提高SKMC。这些发现通过运用OIPT概念来研究导致航运公司更好地进行SRM的各构念之间的相互作用，丰富了现有文献。此外，该研究通过深入了解航运公司应纳入其运营的人工智能能力，提供管理指导，促进有效管理可持续发展风险并确保公司长期生存的最佳实践。
